Objective:To investigate the technical application pathways of artificial intelligence(AI)in laboratory information management systems(LIMS)and its role in promoting laboratory management efficiency and intelli-gence.Methods:Through the integration of traditional AI technologies(e.g.,machine learning,computer vision)with large language models,this study demonstrated the application of various AI technologies in scenarios such as intelligent Q&A for local knowledge bases,comprehensive review of inspection processes,intelligent data visualization,and image recognition.Results:Through the implementation of AI applications in laboratory settings,AI significantly enhanced management efficiency:the intelligent Q&A system achieved over 90％accuracy,auto-mated inspection processes reduced manual workload by 40％,and image recognition precision reached 89％-100％.Conclusion:AI provides efficient and precise solutions for laboratory management via multimodal integration and process optimization.Future efforts should focus on strengthening data security and model interpret-ability to promote comprehensive intelligent development.

Colorectal cancer(CRC)is a common malignancy of the digestive system,with increasing morbidity and mortality worldwide.The standard treatment for CRC has,in the past,been surgery,chemotherapy,and radiotherapy.However,these treatments have significant side effects and are particularly challenging for patients with advanced metastatic CRC(mCRC).Therefore,it is crucial to explore alternative and more effective treatments.In recent years,with the development of molecular technology,numerous biomarkers have been identified,and targeted therapy and immunotherapy have achieved surprisingly positive results in the treatment of mCRC.Patients receiving targeted ther-apy and immunotherapy have an improved prognosis and quality of life.On this basis,this article reviews the latest research progress in tar-geted therapy and immunotherapy for mCRC,providing a reference for precision treatment of mCRC.

Objective:To systematically identify and summarize the best available evidence on feeding management during the peridischarge period for very low birth weight infants (VLBWI) and extremely low birth weight infants (ELBWI), providing a reference for clinical nursing practice.Methods:Evidence on feeding management for VLBWI/ELBWI during the peridischarge period was retrieved from decision support systems, guideline repositories, major databases, and relevant professional organizations' websites. Sources included clinical decisions, guidelines, evidence summaries, systematic reviews, expert consensus documents and so on. The search spanned from database inception to April 2024. Guidelines were reviewed by four researchers, while other documents were screened and appraised by two researchers.Results:A total of 24 documents were included: six clinical decision tools, four guidelines, three systematic reviews, three evidence summaries, and eight expert consensus statements. A total of three primary themes, 10 secondary themes, and 49 best evidence items were synthesized. These covered: pre-discharge feeding management (establishing a peridischarge feeding team, parental feeding education, assessing feeding status of VLBWI/ELBWI, evaluating parental feeding competence, preparing feeding materials/environment and assessing community resources) ; discharge feeding management (providing feeding-related medical records and developing individualized feeding plans) ; post-discharge feeding management (setting growth and development goals, conducting follow-up and growth monitoring, and supplementing necessary nutrients) .Conclusions:The summarized best evidence provides a practical reference for healthcare professionals to effectively implement feeding management for VLBWI/ELBWI during the peridischarge period. Evidence-based strategies should be selectively applied in clinical practice based on individual conditions to ensure a successful transition to home feeding and support healthy growth and development of VLBWI/ELBWI.

Objective:To investigate the technical application pathways of artificial intelligence(AI)in laboratory information management systems(LIMS)and its role in promoting laboratory management efficiency and intelli-gence.Methods:Through the integration of traditional AI technologies(e.g.,machine learning,computer vision)with large language models,this study demonstrated the application of various AI technologies in scenarios such as intelligent Q&A for local knowledge bases,comprehensive review of inspection processes,intelligent data visualization,and image recognition.Results:Through the implementation of AI applications in laboratory settings,AI significantly enhanced management efficiency:the intelligent Q&A system achieved over 90％accuracy,auto-mated inspection processes reduced manual workload by 40％,and image recognition precision reached 89％-100％.Conclusion:AI provides efficient and precise solutions for laboratory management via multimodal integration and process optimization.Future efforts should focus on strengthening data security and model interpret-ability to promote comprehensive intelligent development.

Objective:To systematically identify and summarize the best available evidence on feeding management during the peridischarge period for very low birth weight infants (VLBWI) and extremely low birth weight infants (ELBWI), providing a reference for clinical nursing practice.Methods:Evidence on feeding management for VLBWI/ELBWI during the peridischarge period was retrieved from decision support systems, guideline repositories, major databases, and relevant professional organizations' websites. Sources included clinical decisions, guidelines, evidence summaries, systematic reviews, expert consensus documents and so on. The search spanned from database inception to April 2024. Guidelines were reviewed by four researchers, while other documents were screened and appraised by two researchers.Results:A total of 24 documents were included: six clinical decision tools, four guidelines, three systematic reviews, three evidence summaries, and eight expert consensus statements. A total of three primary themes, 10 secondary themes, and 49 best evidence items were synthesized. These covered: pre-discharge feeding management (establishing a peridischarge feeding team, parental feeding education, assessing feeding status of VLBWI/ELBWI, evaluating parental feeding competence, preparing feeding materials/environment and assessing community resources) ; discharge feeding management (providing feeding-related medical records and developing individualized feeding plans) ; post-discharge feeding management (setting growth and development goals, conducting follow-up and growth monitoring, and supplementing necessary nutrients) .Conclusions:The summarized best evidence provides a practical reference for healthcare professionals to effectively implement feeding management for VLBWI/ELBWI during the peridischarge period. Evidence-based strategies should be selectively applied in clinical practice based on individual conditions to ensure a successful transition to home feeding and support healthy growth and development of VLBWI/ELBWI.

Colorectal cancer(CRC)is a common malignancy of the digestive system,with increasing morbidity and mortality worldwide.The standard treatment for CRC has,in the past,been surgery,chemotherapy,and radiotherapy.However,these treatments have significant side effects and are particularly challenging for patients with advanced metastatic CRC(mCRC).Therefore,it is crucial to explore alternative and more effective treatments.In recent years,with the development of molecular technology,numerous biomarkers have been identified,and targeted therapy and immunotherapy have achieved surprisingly positive results in the treatment of mCRC.Patients receiving targeted ther-apy and immunotherapy have an improved prognosis and quality of life.On this basis,this article reviews the latest research progress in tar-geted therapy and immunotherapy for mCRC,providing a reference for precision treatment of mCRC.